DAMA uses body-anchored Gaussians to reconstruct multi-layered 3D avatars from images, achieving clean garment separation, stacking control, and physical plausibility.
Gaus- sianavatars: Photorealistic head avatars with rigged 3d gaus- sians
6 Pith papers cite this work. Polarity classification is still indexing.
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Pretraining on 1M wild videos followed by post-training on curated data yields high-fidelity feedforward 3D avatars that generalize across identities, clothing, and lighting with emergent relightability and loose-garment support.
FlexAvatar introduces bias sinks in a transformer to unify monocular and multi-view training, yielding complete 3D head avatars with strong generalization and view extrapolation from single images.
Splatography improves dynamic 3D reconstruction from sparse multi-view videos by splitting foreground and background Gaussian representations and applying tailored deformation learning for each.
PercHead achieves state-of-the-art single-image 3D head reconstruction and editing by replacing low-level losses with a perceptual loss from DINOv2 and SAM 2.1 inside a Vision Transformer architecture.
A minimal Gaussian splatting avatar pipeline using the Momentum Human Rig achieves the highest reported PSNR on PeopleSnapshot and ZJU-MoCap without learned deformations.
citing papers explorer
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DAMA: Disentangled Body-Anchored Gaussians for Controllable Multi-Layered Avatars
DAMA uses body-anchored Gaussians to reconstruct multi-layered 3D avatars from images, achieving clean garment separation, stacking control, and physical plausibility.
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Large-scale Codec Avatars: The Unreasonable Effectiveness of Large-scale Avatar Pretraining
Pretraining on 1M wild videos followed by post-training on curated data yields high-fidelity feedforward 3D avatars that generalize across identities, clothing, and lighting with emergent relightability and loose-garment support.
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FlexAvatar: Learning Complete 3D Head Avatars with Partial Supervision
FlexAvatar introduces bias sinks in a transformer to unify monocular and multi-view training, yielding complete 3D head avatars with strong generalization and view extrapolation from single images.
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Splatography: Sparse multi-view dynamic Gaussian Splatting for filmmaking challenges
Splatography improves dynamic 3D reconstruction from sparse multi-view videos by splitting foreground and background Gaussian representations and applying tailored deformation learning for each.
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PercHead: Perceptual Head Model for Single-Image 3D Head Reconstruction & Editing
PercHead achieves state-of-the-art single-image 3D head reconstruction and editing by replacing low-level losses with a perceptual loss from DINOv2 and SAM 2.1 inside a Vision Transformer architecture.
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Better Rigs, Not Bigger Networks: A Body Model Ablation for Gaussian Avatars
A minimal Gaussian splatting avatar pipeline using the Momentum Human Rig achieves the highest reported PSNR on PeopleSnapshot and ZJU-MoCap without learned deformations.